/* * Copyright (c) Meta Platforms, Inc. and affiliates. * All rights reserved. * * This source code is licensed under the BSD-style license found in the * LICENSE file in the root directory of this source tree. */ #include #include namespace torch { namespace executor { namespace native { using Tensor = exec_aten::Tensor; using ScalarType = exec_aten::ScalarType; Tensor& full_like_out( KernelRuntimeContext& ctx, const Tensor& in, const Scalar& fill_value, optional memory_format, Tensor& out) { (void)ctx; if (memory_format.has_value()) { ET_KERNEL_CHECK_MSG( ctx, memory_format.value() == MemoryFormat::Contiguous || memory_format.value() == MemoryFormat::Preserve, InvalidArgument, out, "memory_format must be contiguous"); } ET_KERNEL_CHECK( ctx, tensors_have_same_dim_order(in, out), InvalidArgument, out); ET_KERNEL_CHECK(ctx, tensor_is_default_dim_order(in), InvalidArgument, out); // Resize for dynamic shape ET_KERNEL_CHECK_MSG( ctx, resize_tensor(out, in.sizes()) == Error::Ok, InvalidArgument, out, "Failed to resize output tensor."); ScalarType val_type = utils::get_scalar_dtype(fill_value); ScalarType out_type = out.scalar_type(); constexpr auto name = "scalar_tensor.out"; ET_SWITCH_REALB_TYPES(val_type, ctx, name, CTYPE_VAL, [&] { CTYPE_VAL val; utils::extract_scalar(fill_value, &val); ET_SWITCH_REALHB_TYPES(out_type, ctx, name, CTYPE_OUT, [&] { CTYPE_OUT val_casted = static_cast(val); auto data_out = out.mutable_data_ptr(); for (size_t i = 0; i < out.numel(); ++i) { data_out[i] = val_casted; } }); }); return out; } } // namespace native } // namespace executor } // namespace torch